In this paper, a steganography technique for JPEG 2000 compressed images using singular value decomposition (SVD) in wavelet transform domain is proposed. In this technique, discrete wavelet transform (DWT) is applied on the cover image to get wavelet coefficients and singular value decomposition is applied on these wavelet coefficients to get their singular values. Secret data bits are embedded into these singular values using scaling factor. Different compression rates are also considered for JPEG 2000 images after embedding the secret images. Genetic algorithm (GA) is used to optimize the value of scaling factor (SF). Maximum capacity of the proposed technique is 25% of cover image size and maximum peak signal to noise ratio (PSNR) values between cover and its stego image is more than the PSNR of existing techniques. Embedding capacity of proposed technique is also higher than the embedding capacity of existing techniques. Also, PSNR between secret image and extracted image is high and hence the visual quality of the extracted secret image is good enough to the human visual system. Steg analysis tests are performed on the stego images to show imperceptibility of proposed technique.

This paper presents a new coding method for image compression based on JPEG2000 and contourlet transform. JPEG2000 standard is a common standard that uses Discrete Wavelet Transform (DWT) in the compression process. The main problems of DWT are failure to detect curved edges in image and its shortage representation of the ridge and furrow patterns which cause deficiency and block artifacts remain in the decompressed image. Contourlet transform however, is a new two dimensional extension of the wavelet transform with multidirectional and multiscale filter banks. In this paper, JPEG2000 standard is improved by using contourlet transform and scalar quantization. The results obtained are compared with those of the wavelet based ones which show the superiority of the proposed method. In addition for images containing fine-textured, PSNR obtained by contourlet transform is higher than that of the wavelet transform, while texture and edge are reconstructed better than that of the JPEG2000 standard.